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Energy optimization based integrated stabilization device dual neural network self-tuning PID (Proportion Integration Differentiation) control method

A technology of anti-rolling device and neural network, which is used in transportation and packaging, equipment to reduce ship motion, and equipment to increase ship stability, which can solve problems such as not considering optimization time.

Active Publication Date: 2015-04-22
HARBIN ENG UNIV
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Problems solved by technology

Although the genetic algorithm is used to optimize the PID parameters, the optimization time is not considered

Method used

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  • Energy optimization based integrated stabilization device dual neural network self-tuning PID (Proportion Integration Differentiation) control method
  • Energy optimization based integrated stabilization device dual neural network self-tuning PID (Proportion Integration Differentiation) control method
  • Energy optimization based integrated stabilization device dual neural network self-tuning PID (Proportion Integration Differentiation) control method

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Embodiment Construction

[0055] The present invention is described in more detail below in conjunction with accompanying drawing example:

[0056] combine Figure 1-16 , the present invention comprises the following steps:

[0057] (1) Establish the integrated anti-rolling system model, and take the wave dip angle as the input of the integrated anti-rolling system.

[0058] (2) Create performance indicators based on the established integrated anti-rolling system model. The performance indicators mainly include roll angle variance, fin angle saturation rate and energy consumption of driving fin stabilizer system.

[0059] (3) Adjust the parameter K of the PID controller online by using the double neural network P 、K I and K D , to realize PID parameter self-tuning. In order to optimize the performance index of the integrated anti-rolling system established in the second step.

[0060] (4) Under real-time sea conditions, a delay link is added to the PID controller. The delay time is adjusted in r...

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Abstract

The invention provides an energy optimization based integrated stabilization device dual neural network self-tuning PID (Proportion Integration Differentiation) control method. The energy optimization based integrated stabilization device dual neural network self-tuning PID control method comprises establishing an integrated stabilization system model and serving the inclined angle of sea waves as the integrated stabilization system input; creating performance indexes according to the established integrated stabilization system model, wherein the performance indexes mainly comprise the roll angle variance, the fin angle saturation rate and the driving fin stabilizer system energy consumption; performing online adjustment on parameters of a PID controller through a dual neural network to implement the self-tuning of the PID parameters; adding a delay link into the PID controller under the real-time sea conditions; performing real-time adjustment on the delay time to enable the stabilization capability of a fin stabilizer and a stabilization tank to be fully achieved through an integrated stabilization system; performing real-time updating on the PID control parameters to obtain optimal PID parameter values and optimize the performance indexes of the integrated stabilization system. According to the energy optimization based integrated stabilization device dual neural network self-tuning PID control method, the requirements of the performance indexes of the ship stabilization can be met and the optimization time of the PID parameters can be saved so as to improve the practical application efficiency.

Description

technical field [0001] The invention relates to a control method for anti-rolling, in particular to a control method for anti-rolling of a ship. Background technique [0002] When a ship sails at sea, there will be six degrees of freedom due to the action of waves, of which the rolling motion is the most violent. Therefore, how to stabilize the roll has always been a hot issue that people pay attention to, and the fin stabilizer and water tank are the most commonly used ship stabilizer devices today, but each has its own shortcomings in application. The fin stabilizer has a better anti-rolling effect when the ship is at a high speed, and has almost no anti-rolling effect at a low or zero speed. The anti-rolling tank has limited anti-rolling capability, and even has a roll-increasing effect under certain sea conditions. In order to overcome their respective shortcomings and increase the seakeeping performance of the ship, it is also considered to be equipped with stabilizer...

Claims

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Application Information

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IPC IPC(8): B63B39/00B63B9/00
Inventor 于立君刘少英王辉陈佳张波波关作钰王正坤李灏
Owner HARBIN ENG UNIV
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